S+SpatialStats: User’s Manual for Windows and UNIX
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
1998
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Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | S+SPATIALSTATS is the first comprehensive, object-oriented package for the analysis of spatial data. Providing a whole new set of analysis tools, S+SPATIALSTATS was created specifically for the exploration and modeling of spatially correlated data. It can be used to analyze data arising in areas such as environmental, mining, and petroleum engineering, natural resources, geography, epidemiology, demography, and others where data is sampled spatially. This users manual provides the documentation for the S+SPATIALSTATS module |
Beschreibung: | 1 Online-Ressource (XVI, 328 p) |
ISBN: | 9781461578260 9780387915241 |
DOI: | 10.1007/978-1-4615-7826-0 |
Internformat
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650 | 4 | |a Statistics | |
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650 | 4 | |a Statistik | |
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Datensatz im Suchindex
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any_adam_object | |
author | Kaluzny, Stephen P. |
author_facet | Kaluzny, Stephen P. |
author_role | aut |
author_sort | Kaluzny, Stephen P. |
author_variant | s p k sp spk |
building | Verbundindex |
bvnumber | BV042420949 |
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collection | ZDB-2-SMA ZDB-2-BAE |
ctrlnum | (OCoLC)863976426 (DE-599)BVBBV042420949 |
dewey-full | 519.5 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5 |
dewey-search | 519.5 |
dewey-sort | 3519.5 |
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discipline | Mathematik |
doi_str_mv | 10.1007/978-1-4615-7826-0 |
format | Electronic eBook |
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institution | BVB |
isbn | 9781461578260 9780387915241 |
language | English |
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publishDate | 1998 |
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publisher | Springer New York |
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spelling | Kaluzny, Stephen P. Verfasser aut S+SpatialStats User’s Manual for Windows and UNIX by Stephen P. Kaluzny, Silvia C. Vega, Tamre P. Cardoso, Alice A. Shelly New York, NY Springer New York 1998 1 Online-Ressource (XVI, 328 p) txt rdacontent c rdamedia cr rdacarrier S+SPATIALSTATS is the first comprehensive, object-oriented package for the analysis of spatial data. Providing a whole new set of analysis tools, S+SPATIALSTATS was created specifically for the exploration and modeling of spatially correlated data. It can be used to analyze data arising in areas such as environmental, mining, and petroleum engineering, natural resources, geography, epidemiology, demography, and others where data is sampled spatially. This users manual provides the documentation for the S+SPATIALSTATS module Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik S+SPATIALSTATS (DE-588)4486920-4 gnd rswk-swf S+SPATIALSTATS (DE-588)4486920-4 s 1\p DE-604 Vega, Silvia C. Sonstige oth Cardoso, Tamre P. Sonstige oth Shelly, Alice A. Sonstige oth https://doi.org/10.1007/978-1-4615-7826-0 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Kaluzny, Stephen P. S+SpatialStats User’s Manual for Windows and UNIX Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik S+SPATIALSTATS (DE-588)4486920-4 gnd |
subject_GND | (DE-588)4486920-4 |
title | S+SpatialStats User’s Manual for Windows and UNIX |
title_auth | S+SpatialStats User’s Manual for Windows and UNIX |
title_exact_search | S+SpatialStats User’s Manual for Windows and UNIX |
title_full | S+SpatialStats User’s Manual for Windows and UNIX by Stephen P. Kaluzny, Silvia C. Vega, Tamre P. Cardoso, Alice A. Shelly |
title_fullStr | S+SpatialStats User’s Manual for Windows and UNIX by Stephen P. Kaluzny, Silvia C. Vega, Tamre P. Cardoso, Alice A. Shelly |
title_full_unstemmed | S+SpatialStats User’s Manual for Windows and UNIX by Stephen P. Kaluzny, Silvia C. Vega, Tamre P. Cardoso, Alice A. Shelly |
title_short | S+SpatialStats |
title_sort | s spatialstats user s manual for windows and unix |
title_sub | User’s Manual for Windows and UNIX |
topic | Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik S+SPATIALSTATS (DE-588)4486920-4 gnd |
topic_facet | Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistik S+SPATIALSTATS |
url | https://doi.org/10.1007/978-1-4615-7826-0 |
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